Tensor-Based Reliable Multiview Similarity Learning for Robust Spectral Clustering on Uncertain Data

doi:10.1109/TR.2021.3079955

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 三维可视计算

	Tensor-Based Reliable Multiview Similarity Learning for Robust Spectral Clustering on Uncertain Data
	Li, Ao 1,2; Chen, Jiajia 1; Chen, Deyun 1; Yu, Xiaoyang 2; Yuan, Mengke 3; Xu, Shibiao 4; Sun, Guanglu 1
刊名	IEEE TRANSACTIONS ON RELIABILITY
	2021-09-01
卷号	70 期号:3 页码:916-930
关键词	Tensors Matrix decomposition Adaptation models Data models Probabilistic logic Learning systems Image reconstruction Low-rank approximation multiview clustering similarity learning tensor analysis
ISSN号	0018-9529
DOI	10.1109/TR.2021.3079955
通讯作者	Li, Ao(dargonboy@126.com) ; Xu, Shibiao(shibiao.xu@nlpr.ia.ac.cn)
英文摘要	Similarity graph learning is the most key technique for multiview spectral clustering. However, existing methods fail when applied to uncertain data contaminated with various types of noise in an open environment. Due to the damaged structure by noise, unreliable similar relationships are learned, which extends similarity inconsistency among views. Moreover, the high-order correlation hidden in graphs are ignored generally. To address these problems, we propose a reliable similarity learning scheme for multiview clustering on uncertain data. This method can significantly improve spectral clustering performance in a noisy environment, and the contributions of our scheme include the following three aspects: 1) Uncertain data subspace reconstruction and adaptive graph learning are combined to construct a view-specific graph from high-quality recovered data, thus improving robustness. 2) A low-rank tensor constraint is utilized to facilitate multiview fusion, where the latent high-order correlation among view graphs will be fully explored when learning the consensus graph structure. 3) Data recovery, view-specific graphs, and latent consensus tensor structure are assembled into a unified framework, to be optimized jointly for mutual benefit. Our study also develops an efficient algorithm for obtaining overall solutions. The experimental results on several datasets demonstrate that our proposed approach shows significant improvements in robustness and evaluation metrics over the comparison methods.
资助项目	National Natural Science Foundation of China[62071157] ; University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province[UNPYSCT-2018203] ; Natural Science Foundation of Heilongjiang Province[YQ2019F011] ; Fundamental Research Foundation for University of Heilongjiang Province[LGYC2018JQ013] ; Postdoctoral Foundation of Heilongjiang Province[LBH-Q19112]
WOS关键词	REPRESENTATION ; RECOGNITION ; ALGORITHM ; NETWORKS
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000692208600009
资助机构	National Natural Science Foundation of China ; University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province ; Natural Science Foundation of Heilongjiang Province ; Fundamental Research Foundation for University of Heilongjiang Province ; Postdoctoral Foundation of Heilongjiang Province
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/45947]
专题	模式识别国家重点实验室_三维可视计算
通讯作者	Li, Ao; Xu, Shibiao
作者单位	1.Harbin Univ Sci & Technol, Sch Comp Sci & Technol, Harbin 150080, Peoples R China 2.Harbin Univ Sci & Technol, Instrument Sci & Technol Postdoctoral Res Stn, Harbin 150080, Peoples R China 3.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 4.Beijing Univ Posts & Telecommun, Artificial Intelligence Sch, Beijing 100876, Peoples R China
推荐引用方式 GB/T 7714	Li, Ao,Chen, Jiajia,Chen, Deyun,et al. Tensor-Based Reliable Multiview Similarity Learning for Robust Spectral Clustering on Uncertain Data[J]. IEEE TRANSACTIONS ON RELIABILITY,2021,70(3):916-930.
APA	Li, Ao.,Chen, Jiajia.,Chen, Deyun.,Yu, Xiaoyang.,Yuan, Mengke.,...&Sun, Guanglu.(2021).Tensor-Based Reliable Multiview Similarity Learning for Robust Spectral Clustering on Uncertain Data.IEEE TRANSACTIONS ON RELIABILITY,70(3),916-930.
MLA	Li, Ao,et al."Tensor-Based Reliable Multiview Similarity Learning for Robust Spectral Clustering on Uncertain Data".IEEE TRANSACTIONS ON RELIABILITY 70.3(2021):916-930.